📢📢 Announcing this year's conference on the Mathematics of Neuroscience & AI (Rome, 9-12th June). We’ve got a stellar line-up and venue, and invite everyone to join:
www.neuromonster.org
Thrilled to share that our work on neural circuits and economic decision-making is now published in @cp-neuron.bsky.social . Huge thanks to @camillopadoasch.bsky.social and @xjwanglab for this journey.
www.sciencedirect.com/science/arti...
Despite the rain, a full house for @valeriafascianelli.bsky.social (Alexander Bodini Fellow in Developmental & Adolescent Psychiatry) & @stefanofusi.bsky.social (@zuckermanbrain.bsky.social ) in our Open Seminars series: "How does the Geometry of Brain Activity Shape Behavior?"
Tomorrow! Oct 30, 4:30pm
"How does the Geometry of Brain Activity Shape Behavior?"
Valeria Fascianelli; moderator Stefano Fusi, Zuckerman Institute, Columbia.
Open seminars series; register: tinyurl.com/379uda2z
@valeriafascianelli.bsky.social @columbiauniversity.bsky.social @stefanofusi.bsky.social
Happy to talk about the “Geometry of Emotions” at the Italian Academy on Oct 30th!
Honored to be one of the new fellows of the @italianacademy.bsky.social in this fall!
Excited to speak at the Davide Giri Talks at the Consulate General of Italy in New York!
We’ll be discussing complex systems: from atoms, to people, to machines. @sueyeonchung.bsky.social
Excited to share our latest preprint with @camillopadoasch.bsky.social and Xiao-Jing Wang! We present a biologically plausible framework showing how neural circuits compute & compare value to drive flexible economic decision making.
www.biorxiv.org/content/10.1...
New collaborative ms! We built & trained a neural network that is biophysically realistic, performs multiple economic choice tasks, and provides insights into orbitofrontal cortex.
(We = Aldo Battista 😉)
www.biorxiv.org/content/10.1...
Check our latest in which we leverage shape metrics to compare neural geometry across regions, sessions or subjects and how their differences predict behavior.
w/ Nejatbakhsh, Duong, @sarah-harvey.bsky.social, Brincat, @siegellab.bsky.social, @earlkmiller.bsky.social & @itsneuronal.bsky.social
schematic of neural recordings from mouse V1, whole-brain, and hippocampus; neural activity traces from the population, showing more correlated activity in V1 and whole-brain recordings versus more decorrelated activity in hippocampus
What if… spontaneous neural activity 🧠 reflects the baseline rumblings of a brainwide dynamical system initialized for learning? We find that the rumblings have macroscopic properties like those emerging from linear symmetric, critical systems 🧵 #neuroscience #neuroAI www.biorxiv.org/content/10.1...
New results! Visual adaptation changes the geometry of V1 population activity: frequent stimuli elicit smaller responses but become more discriminable. Similar results are seen in ANNs trained with metabolic constraints, suggesting these changes emerge from efficient coding. bit.ly/3VJHXRn
What is the neural code and statistical structure of neural states characterizing stress?
Our new work in Nature answers these questions and more. Thanks to my amazing co-first @fxia.bsky.social @stefanofusi.bsky.social @mazenkheirbek.bsky.social for precious guidance
www.nature.com/articles/s41...
(1/5) Fun fact: Several classic results in the stat. mech. of learning can be derived in a couple lines of simple algebra!
In this paper with Haim Sompolinsky, we simplify and unify derivations for high-dimensional convex learning problems using a bipartite cavity method.
arxiv.org/abs/2412.01110
